Multi-Camera Occlusion and Sudden-Appearance-Change Detection Using Hidden Markovian Chains
Computer Vision and Pattern Recognition
2016-12-20 v1
Abstract
This paper was originally submitted to Xinova as a response to a Request for Invention (RFI) on new event monitoring methods. In this paper, a new object tracking algorithm using multiple cameras for surveillance applications is proposed. The proposed system can detect sudden-appearance-changes and occlusions using a hidden Markovian statistical model. The experimental results confirm that our system detect the sudden-appearance changes and occlusions reliably.
Cite
@article{arxiv.1610.09520,
title = {Multi-Camera Occlusion and Sudden-Appearance-Change Detection Using Hidden Markovian Chains},
author = {Xudong Ma},
journal= {arXiv preprint arXiv:1610.09520},
year = {2016}
}